Didit is an all-in-one identity platform that replaces fragmented identity tools with unified KYC, biometrics, liveness, and fraud detection. It offers 500 free checks per month with simple pay-per-use pricing and works globally across devices.
Didit is an identity infrastructure platform that replaces fragmented identity and fraud tools with a single, open Application Programming Interface (API). As a unified identity verification platform, it serves developers, AI agents, and compliance teams who need to integrate Know Your Customer (KYC), Anti-Money Laundering (AML), biometric authentication, and transaction monitoring into their products. The core value of Didit lies in providing one API to authenticate users, verify documents, and monitor risk across users, businesses, and transactions. This approach eliminates the need for multiple vendors, reduces integration complexity, and allows organizations to ship robust identity flows in minutes rather than weeks.
The concrete problem Didit solves is the fragmentation of identity verification tools that force businesses to juggle multiple vendors, pricing models, and integration patterns. Each separate service for KYC, biometric liveness, AML screening, and transaction monitoring requires its own contract, documentation, and compliance overhead. This fragmentation slows down product launches, increases costs, and creates operational friction. For fintechs, crypto exchanges, and marketplace platforms, the inability to quickly and compliantly verify users across geographies often becomes a barrier to growth. Didit addresses this by consolidating every identity and fraud check into one programmable layer, making it feasible for companies to verify individuals, businesses, and transactions without stitching together disparate systems.
One of Didit's standout features is its One API design, which covers every major identity and fraud check through a single endpoint. This API handles user authentication via biometric auth and passive liveness, one-time KYC and KYB verification using 14,000+ document types and 1,000+ government data sources, AML screening against 10,000+ datasets, real-time transaction monitoring, and crypto wallet screening. The ability to chain multiple checks—such as ID verification, selfie matching, and AML screening—within a single session without additional integration work is a key benefit. This reduces development time from weeks to hours and simplifies maintenance, as there is only one API version and workflow engine to manage.
A second major feature is the agent-native integration capability via Didit’s Model Context Protocol (MCP) server, which allows AI coding agents like Claude Code, Codex, and Cursor to integrate identity and fraud flows autonomously. After providing a one-line prompt, the agent creates a workspace, configures the desired workflow (e.g., ID verification plus selfie and AML), and ships the first API call without any human intervention or dashboard interaction. This feature is particularly valuable for teams that rely on AI-assisted development, as it eliminates the manual steps of reading docs, generating keys, and testing endpoints. It also enables rapid prototyping—developers can validate identity flows in seconds by simply instructing an agent.
Publisher
A
admin
Launch Date2026-03-02
Platformweb
Pricingfreemium